Johan Ericson
- Developmental Neuroscience top 0.05%
- Neurogenesis and neuroplasticity mechanisms 25
- Cellular and Molecular Neuroscience top 0.5%
- Nuclear Receptors and Signaling 7
- Molecular Biology top 0.5%
- Developmental Biology and Gene Regulation 32
- Hedgehog Signaling Pathway Studies 15
- Congenital heart defects research 14
- Pluripotent Stem Cells Research 13
- Epigenetics and DNA Methylation 7
- Cell Biology top 0.5%
- Zebrafish Biomedical Research Applications 7
- Genetics top 0.5%
- Co-authors
- Thomas M. JessellJames BriscoeHelena EdlundAlessandra PieraniAtsushi KawakamiJonas MuhrElisabet AnderssonStefan Thor
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Johan Ericson
68 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Developmental Neuroscience 3.0k
- Cellular and Molecular Neuroscience 2.8k
- Molecular Biology 9.4k
- Cell Biology 1.5k
- Genetics 2.3k
Countries citing papers authored by Johan Ericson
This map shows the geographic impact of Johan Ericson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Johan Ericson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Ericson more than expected).
Fields of papers citing papers by Johan Ericson
This network shows the impact of papers produced by Johan Ericson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Johan Ericson. The network helps show where Johan Ericson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Johan Ericson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 19 | |
| 2 | 2018 | 39 | |
| 3 | 2017 | 5 | |
| 4 | 2016 | 32 | |
| 5 | 2014 | 19 | |
| 6 | 2014 | 73 | |
| 7 | 2011 | 33 | |
| 8 | 2009 | 46 | |
| 9 | 2009 | 166 | |
| 10 | 2008 | 217 | |
| 11 | 2006 | 456 | |
| 12 | 2006 | 5 | |
| 13 | 2006 | 37 | |
| 14 | 2006 | 392 | |
| 15 | 2004 | 53 | |
| 16 | 2003 | 209 | |
| 17 | 2001 | 217 | |
| 18 | A Homeodomain Protein Code Specifies Progenitor Cell Identity and Neuronal Fate in the Ventral Neural Tubebreakdown → | 2000 | 900 |
| 19 | 1999 | 34 | |
| 20 | 1995 | 115 |
About Johan Ericson
Johan Ericson is a scholar working on Developmental Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Developmental Biology and Cell Biology, having authored 68 papers that have together received 11.7k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (32 papers), Neurogenesis and neuroplasticity mechanisms (25 papers), Hedgehog Signaling Pathway Studies (15 papers), Congenital heart defects research (14 papers), Pluripotent Stem Cells Research (13 papers), Zebrafish Biomedical Research Applications (7 papers), Epigenetics and DNA Methylation (7 papers) and Nuclear Receptors and Signaling (7 papers). The work is most often cited by research in Developmental Neuroscience (3.0k citations), Cellular and Molecular Neuroscience (2.8k citations), Molecular Biology (9.4k citations), Cell Biology (1.5k citations) and Genetics (2.3k citations). Johan Ericson has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Thomas M. Jessell, James Briscoe, Helena Edlund, Alessandra Pierani, Atsushi Kawakami, Jonas Muhr, Elisabet Andersson, Stefan Thor, Penny Rashbass and Veronica van Heyningen. Their work appears in journals such as Development, Cell, Neuron, Proceedings of the National Academy of Sciences and Nature Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.